Find Your Dream Python Job in India

We're hiring - Tech Lead (Oracle SQL PL SQL Python) - Global Markets IT, BNP Paribas - Bangalore

About the business

BNP Paribas Global Markets enables corporate & institutional clients to trade, hedge and invest across every asset class, 24/7. Our IT teams design, build and run the mission critical platforms that power everything from FX to complex equity derivatives. We operate globally (Paris - London - New York - Tokyo - Singapore - Hong Kong - Bangalore) and are looking for a strong technical leader to drive the next wave of modernization.

Position Overview

BNP Paribas Global Markets (India - Bangalore) is looking for a Tech Lead to drive the migration and modernization of legacy Scala based tools to a Python and Oracle SQL based architecture (COMPASS 2.0 & NEXT roadmap ). Reporting to the SDA Lead, you will design high performance data solutions, refactor existing systems for efficiency and maintainability, and work closely with cross functional teams (MO, CC Governance, Sales) across multiple geographies. The role blends strong technical leadership, hands on development, and mentorship of mid level engineers.

Job Responsibilities

Core / Direct

• Gather and analyze business requirements; propose scalable technical solutions.
• Design end to end data architectures and flows that integrate smoothly with existing platforms.
• Architect, develop, and optimize high throughput data pipelines in Python (Pandas, NumPy) and Oracle SQL/PL SQL.
• Refactor legacy Scala applications into maintainable Python/SQL services.
• Collect, transform, and analyze data from multiple sources to produce client contribution and revenue analysis metrics.
• Automate recurring tasks and build tooling to improve application support and evolution.
• Enhance overall application architecture to raise service quality for business users.
• Prioritize and manage workload, balancing urgent operational needs with long term roadmap objectives.
• Proactively identify, troubleshoot, and resolve technical issues; implement preventive fixes.
• Communicate complex technical concepts clearly to both technical and non technical stakeholders.

Contributing / Collaborative

• Participate in Agile Scrum ceremonies (sprint planning, daily stand ups, retrospectives, demos).
• Mentor mid level developers, conduct code reviews and enforce best practices.
• Collaborate with global teams (Paris, London, New York, Tokyo, Singapore, Hong Kong) to ensure data integrity and alignment with global strategy.
• Explore emerging technologies (data warehousing, AI/Agentic tools, Tableau/Power BI, ELK Stack, ML libraries) that could add value to the platform.

Required Education, Skills and Experience (Must Have)

• Education - Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent).
• Professional Experience - Minimum 5 years in software development or data engineering roles.
• Database Expertise - Advanced proficiency with Oracle SQL / PL SQL (query tuning, indexing, partitioning, stored procedure optimization).
• Programming - Expert level Python skills; hands on experience with Pandas and NumPy for data manipulation and ETL processes.
• Data Analysis - Ability to extract insights, perform data mining, and manage end to end data flows.
• Leadership - Proven experience leading a small development team, mentoring junior/mid level engineers, and driving technical decisions.
• Agile Delivery - Experience working in Scrum/Agile environments; comfortable managing backlogs and sprint commitments.
• Communication - Strong verbal and written skills; capable of translating technical concepts for non technical audiences.
• Behavioral Traits - Autonomous, rigorous, collaborative, high stress tolerance, detail oriented, quality focused, curious, and proactive problem solver.

Preferred Education, Skills and Experience (Nice to Have)

• Advanced degree (Master's) or professional certifications (Oracle Certified Professional, AWS/Azure Data Engineer, etc.).
• Data warehouse experience (Snowflake, Redshift, Big Query, Oracle Exadata).
• Exposure to AI/Agentic tools or generative AI frameworks.
• Proficiency with business intelligence tools such as Tableau or Power BI.
• Familiarity with the ELK Stack (Elasticsearch, Logstash, Kibana) for logging and monitoring.
• Experience with machine learning libraries (scikit learn, TensorFlow, PyTorch) and basic statistical modelling.
• Knowledge of additional programming languages (Scala, Java) to aid legacy code understanding.
• Hands on experience with cloud platforms (Azure or AWS) and services like Azure Data Factory, AWS Glue, Lambda.
• Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, Docker, Kubernetes.

Location: Bangalore, India (on site / hybrid)

If you are passionate about modernizing data platforms, enjoy leading technically driven teams, and thrive in a fast paced global environment, we encourage you to apply.

Apply now or tag a friend who fits the bill!

We're hiring - Tech Lead (Oracle SQL PL SQL Python) - Global Markets IT, BNP Paribas - Bangalore

About the business

BNP Paribas Global Markets enables corporate & institutional clients to trade, hedge and invest across every asset class, 24/7. Our IT teams design, build and run the mission critical platforms that power everything from FX to complex equity derivatives. We operate globally (Paris - London - New York - Tokyo - Singapore - Hong Kong - Bangalore) and are looking for a strong technical leader to drive the next wave of modernization.

Position Overview

BNP Paribas Global Markets (India - Bangalore) is looking for a Tech Lead to drive the migration and modernization of legacy Scala based tools to a Python and Oracle SQL based architecture (COMPASS 2.0 & NEXT roadmap ). Reporting to the SDA Lead, you will design high performance data solutions, refactor existing systems for efficiency and maintainability, and work closely with cross functional teams (MO, CC Governance, Sales) across multiple geographies. The role blends strong technical leadership, hands on development, and mentorship of mid level engineers.

Job Responsibilities

Core / Direct

• Gather and analyze business requirements; propose scalable technical solutions.
• Design end to end data architectures and flows that integrate smoothly with existing platforms.
• Architect, develop, and optimize high throughput data pipelines in Python (Pandas, NumPy) and Oracle SQL/PL SQL.
• Refactor legacy Scala applications into maintainable Python/SQL services.
• Collect, transform, and analyze data from multiple sources to produce client contribution and revenue analysis metrics.
• Automate recurring tasks and build tooling to improve application support and evolution.
• Enhance overall application architecture to raise service quality for business users.
• Prioritize and manage workload, balancing urgent operational needs with long term roadmap objectives.
• Proactively identify, troubleshoot, and resolve technical issues; implement preventive fixes.
• Communicate complex technical concepts clearly to both technical and non technical stakeholders.

Contributing / Collaborative

• Participate in Agile Scrum ceremonies (sprint planning, daily stand ups, retrospectives, demos).
• Mentor mid level developers, conduct code reviews and enforce best practices.
• Collaborate with global teams (Paris, London, New York, Tokyo, Singapore, Hong Kong) to ensure data integrity and alignment with global strategy.
• Explore emerging technologies (data warehousing, AI/Agentic tools, Tableau/Power BI, ELK Stack, ML libraries) that could add value to the platform.

Required Education, Skills and Experience (Must Have)

• Education - Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent).
• Professional Experience - Minimum 5 years in software development or data engineering roles.
• Database Expertise - Advanced proficiency with Oracle SQL / PL SQL (query tuning, indexing, partitioning, stored procedure optimization).
• Programming - Expert level Python skills; hands on experience with Pandas and NumPy for data manipulation and ETL processes.
• Data Analysis - Ability to extract insights, perform data mining, and manage end to end data flows.
• Leadership - Proven experience leading a small development team, mentoring junior/mid level engineers, and driving technical decisions.
• Agile Delivery - Experience working in Scrum/Agile environments; comfortable managing backlogs and sprint commitments.
• Communication - Strong verbal and written skills; capable of translating technical concepts for non technical audiences.
• Behavioral Traits - Autonomous, rigorous, collaborative, high stress tolerance, detail oriented, quality focused, curious, and proactive problem solver.

Preferred Education, Skills and Experience (Nice to Have)

• Advanced degree (Master's) or professional certifications (Oracle Certified Professional, AWS/Azure Data Engineer, etc.).
• Data warehouse experience (Snowflake, Redshift, Big Query, Oracle Exadata).
• Exposure to AI/Agentic tools or generative AI frameworks.
• Proficiency with business intelligence tools such as Tableau or Power BI.
• Familiarity with the ELK Stack (Elasticsearch, Logstash, Kibana) for logging and monitoring.
• Experience with machine learning libraries (scikit learn, TensorFlow, PyTorch) and basic statistical modelling.
• Knowledge of additional programming languages (Scala, Java) to aid legacy code understanding.
• Hands on experience with cloud platforms (Azure or AWS) and services like Azure Data Factory, AWS Glue, Lambda.
• Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, Docker, Kubernetes.

Location: Bangalore, India (on site / hybrid)

If you are passionate about modernizing data platforms, enjoy leading technically driven teams, and thrive in a fast paced global environment, we encourage you to apply.

Apply now or tag a friend who fits the bill!

Role: Python Developer

Location: Hyderabad, Telangana

Experience: 7-9 Years (3 Vacant) & 10-15 Years (1 vacant)

Requirements:

• Experience in BFSI Domain
• Experience in API endpoint (Flask/ Django/ Fast ) creation.
• Asynch.io
• NumPy & panda.
• Postgres DB /Mongo DB Basic
• S3 / AWS
• Any API Management tool ( Postman /Mulesoft )
• GRPC

Role Overview

We are seeking experienced SwarmBench task engineers - data analysis - to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-agents, such as financial, technical, security, or operations analysts
• Write precise Oracle logic or verification scripts that validate specific analytical conclusions rather than generic summaries
• Create reproducible evaluation environments using Python and Docker
• Review task performance signals to ensure strong separation between weaker and stronger agentic systems
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality

Contract Details:

• Duration: 12 months+
• Pay: INR 1.75 L - 2.00 per month
• Number of positions: 12
• Mode of work: Fully Remote
• Experience: 5+ Years

Requirements

• 5+ years of experience in data analysis
• Strong proficiency in SQL and Python for data analysis and scripting (pandas, NumPy, or similar)
• Experience working with real-world, messy datasets (CSV, JSON, logs, reports)
• Ability to design non-trivial analytical questions with clear, specific, and verifiable answers
• Solid understanding of statistical concepts (averages, distributions, outliers, correlations)
• Familiarity with AI coding benchmark environments (e.g., SWE-bench, Terminal-Bench)
• Comfortable working with Docker (writing Dockerfiles, building images, debugging containers)

Additional Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).

Role Overview

We are seeking experienced SwarmBench task engineers - data analysis - to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-agents, such as financial, technical, security, or operations analysts
• Write precise Oracle logic or verification scripts that validate specific analytical conclusions rather than generic summaries
• Create reproducible evaluation environments using Python and Docker
• Review task performance signals to ensure strong separation between weaker and stronger agentic systems
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality

Contract Details:

• Duration: 12 months+
• Pay: INR 1.75 L - 2.00 per month
• Number of positions: 12
• Mode of work: Fully Remote
• Experience: 5+ Years

Requirements

• 5+ years of experience in data analysis
• Strong proficiency in SQL and Python for data analysis and scripting (pandas, NumPy, or similar)
• Experience working with real-world, messy datasets (CSV, JSON, logs, reports)
• Ability to design non-trivial analytical questions with clear, specific, and verifiable answers
• Solid understanding of statistical concepts (averages, distributions, outliers, correlations)
• Familiarity with AI coding benchmark environments (e.g., SWE-bench, Terminal-Bench)
• Comfortable working with Docker (writing Dockerfiles, building images, debugging containers)

Additional Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).

Role Overview

We are seeking experienced SwarmBench task engineers - data analysis - to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-agents, such as financial, technical, security, or operations analysts
• Write precise Oracle logic or verification scripts that validate specific analytical conclusions rather than generic summaries
• Create reproducible evaluation environments using Python and Docker
• Review task performance signals to ensure strong separation between weaker and stronger agentic systems
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality

Contract Details:

• Duration: 12 months+
• Pay: INR 1.75 L - 2.00 per month
• Number of positions: 12
• Mode of work: Fully Remote
• Experience: 5+ Years

Requirements

• 5+ years of experience in data analysis
• Strong proficiency in SQL and Python for data analysis and scripting (pandas, NumPy, or similar)
• Experience working with real-world, messy datasets (CSV, JSON, logs, reports)
• Ability to design non-trivial analytical questions with clear, specific, and verifiable answers
• Solid understanding of statistical concepts (averages, distributions, outliers, correlations)
• Familiarity with AI coding benchmark environments (e.g., SWE-bench, Terminal-Bench)
• Comfortable working with Docker (writing Dockerfiles, building images, debugging containers)

Additional Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).

Role Overview

We are seeking experienced SwarmBench task engineers - data analysis - to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-agents, such as financial, technical, security, or operations analysts
• Write precise Oracle logic or verification scripts that validate specific analytical conclusions rather than generic summaries
• Create reproducible evaluation environments using Python and Docker
• Review task performance signals to ensure strong separation between weaker and stronger agentic systems
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality

Contract Details:

• Duration: 12 months+
• Pay: INR 1.75 L - 2.00 per month
• Number of positions: 12
• Mode of work: Fully Remote
• Experience: 5+ Years

Requirements

• 5+ years of experience in data analysis
• Strong proficiency in SQL and Python for data analysis and scripting (pandas, NumPy, or similar)
• Experience working with real-world, messy datasets (CSV, JSON, logs, reports)
• Ability to design non-trivial analytical questions with clear, specific, and verifiable answers
• Solid understanding of statistical concepts (averages, distributions, outliers, correlations)
• Familiarity with AI coding benchmark environments (e.g., SWE-bench, Terminal-Bench)
• Comfortable working with Docker (writing Dockerfiles, building images, debugging containers)

Additional Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).

Role Overview

We are seeking experienced SwarmBench task engineers - data analysis - to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-agents, such as financial, technical, security, or operations analysts
• Write precise Oracle logic or verification scripts that validate specific analytical conclusions rather than generic summaries
• Create reproducible evaluation environments using Python and Docker
• Review task performance signals to ensure strong separation between weaker and stronger agentic systems
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality

Contract Details:

• Duration: 12 months+
• Pay: INR 1.75 L - 2.00 per month
• Number of positions: 12
• Mode of work: Fully Remote
• Experience: 5+ Years

Requirements

• 5+ years of experience in data analysis
• Strong proficiency in SQL and Python for data analysis and scripting (pandas, NumPy, or similar)
• Experience working with real-world, messy datasets (CSV, JSON, logs, reports)
• Ability to design non-trivial analytical questions with clear, specific, and verifiable answers
• Solid understanding of statistical concepts (averages, distributions, outliers, correlations)
• Familiarity with AI coding benchmark environments (e.g., SWE-bench, Terminal-Bench)
• Comfortable working with Docker (writing Dockerfiles, building images, debugging containers)

Additional Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).

Role Overview

We are seeking experienced SwarmBench task engineers - data analysis - to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-agents, such as financial, technical, security, or operations analysts
• Write precise Oracle logic or verification scripts that validate specific analytical conclusions rather than generic summaries
• Create reproducible evaluation environments using Python and Docker
• Review task performance signals to ensure strong separation between weaker and stronger agentic systems
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality

Contract Details:

• Duration: 12 months+
• Pay: INR 1.75 L - 2.00 per month
• Number of positions: 12
• Mode of work: Fully Remote
• Experience: 5+ Years

Requirements

• 5+ years of experience in data analysis
• Strong proficiency in SQL and Python for data analysis and scripting (pandas, NumPy, or similar)
• Experience working with real-world, messy datasets (CSV, JSON, logs, reports)
• Ability to design non-trivial analytical questions with clear, specific, and verifiable answers
• Solid understanding of statistical concepts (averages, distributions, outliers, correlations)
• Familiarity with AI coding benchmark environments (e.g., SWE-bench, Terminal-Bench)
• Comfortable working with Docker (writing Dockerfiles, building images, debugging containers)

Additional Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).

Role Overview

We are seeking experienced SwarmBench task engineers - data analysis - to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-agents, such as financial, technical, security, or operations analysts
• Write precise Oracle logic or verification scripts that validate specific analytical conclusions rather than generic summaries
• Create reproducible evaluation environments using Python and Docker
• Review task performance signals to ensure strong separation between weaker and stronger agentic systems
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality

Contract Details:

• Duration: 12 months+
• Pay: INR 1.75 L - 2.00 per month
• Number of positions: 12
• Mode of work: Fully Remote
• Experience: 5+ Years

Requirements

• 5+ years of experience in data analysis
• Strong proficiency in SQL and Python for data analysis and scripting (pandas, NumPy, or similar)
• Experience working with real-world, messy datasets (CSV, JSON, logs, reports)
• Ability to design non-trivial analytical questions with clear, specific, and verifiable answers
• Solid understanding of statistical concepts (averages, distributions, outliers, correlations)
• Familiarity with AI coding benchmark environments (e.g., SWE-bench, Terminal-Bench)
• Comfortable working with Docker (writing Dockerfiles, building images, debugging containers)

Additional Details

• Commitments Required: 8 hours per day with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).

Role  : Python Backend Developer (SDE-II)

Location  : Bangalore (Onsite) 5 days working

Experience  : 5+ years

Budget  : 15 - 18 LPA

Qualification  : Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.

Senior Backend Developer (SDE-II) is an impactful role in the design, development, and deployment of software solutions. Further, will be expected to collaborate with a team of engineers and stakeholders, solving complex technical challenges while driving best practices in engineering and operational excellence.

Mandatory Skills: Python, Django , web application development.

Key Responsibilities :

1. Design & Development : Own the design, development, and delivery of scalable and performant software systems, working across the entire software development lifecycle (SDLC).
2. Problem Solving : Analyze user requirements, design system architectures, and create efficient, reliable, and reusable code.
3. Code Quality & Best Practices : Write high-quality, maintainable, and efficient code while adhering to coding standards, and perform peer code reviews.
4. Testing & Automation : Design and implement robust test cases (unit, integration, performan

Role ETL Informatica Engineer

Location Remote Offshore India

Duration: Rolling contract

25 LPA

Must Haves:

• Informatica
• Python
• ETL
• Airflow
• Salesforce domain experience

Plusses:

• Snowflake
• MuleSoft

We are looking for a Backend Developer with strong experience in Python, FastAPI, web application backends, and agentic AI systems .

The role will involve building scalable backend services, APIs, workflow automation systems, and AI-powered applications that integrate with LLMs, tools, databases, and external services.

Key Responsibilities

• Build and maintain backend services using Python and FastAPI .
• Design clean, scalable, and secure REST APIs.
• Develop backend systems for web applications, dashboards, and internal tools.
• Work on AI-powered workflows, agentic systems, and LLM-based applications.
• Integrate with third-party APIs, databases, vector databases, queues, and cloud services.
• Build systems that can call tools, manage workflows, process documents, and automate business tasks.
• Implement authentication, authorization, logging, monitoring, and error handling.
• Write clean, maintainable, and well-documented code.
• Collaborate with frontend developers, product teams, and AI engineers.
• Optimize backend performance, reliability, and scalability.
• Participate in architecture discussions and technical planning.

Requirement

• 3 to 6 years of backend development experience.
• Strong hands-on experience with Python and FastAPI .
• Experience building pro

Role Overview

We are seeking experienced SwarmBench task engineers — data analysis — to design and develop high-quality multi-agent benchmark tasks that evaluate the analytical reasoning, coordination, and execution capabilities of advanced AI systems.

In this role, you will build realistic benchmark tasks that require AI agents to analyse large, messy, multi-source datasets, decompose work across specialist sub-agents, and arrive at specific, verifiable conclusions. These tasks may involve structured and semi-structured data such as CSVs, JSON files, logs, reports, survey results, vendor assessments, or financial and operational documents.

Your work will help measure how effectively AI systems perform complex analytical workflows involving cross-referencing, contradiction detection, anomaly identification, and statistical reasoning across multiple data sources.

What does day-to-day look like

• Design and author multi-agent benchmark tasks centred on complex data analysis workflows
• Create realistic synthetic datasets or curate real-world style datasets across domains such as finance, operations, security, or market analysis
• Build tasks that require agents to perform cross-referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources
• Develop decomposition guides that split analytical work across specialist sub-a

We are seeking an experienced Senior Software Engineer – Python + AI/ML & Generative AI

The ideal candidate will have strong hands-on expertise in machine learning, generative AI, cloud platforms (Azure/AWS), and Python-based backend development .

Experience - 6-14 years

Notice Period - IMMEDIATE JOINERS ONLY

Skill- Python, Generative ai/LLM, Rag. fast api

Job Location - work from home (Hybrid for Jaipur, Hyderabad)

JOB DESCRIPTION

• Design and implement end-to-end AI/ML pipelines , from business understanding to deployment.
• Develop Generative AI solutions using LLMs (OpenAI/Azure OpenAI/Gemini) for document processing, chatbots, and intelligent automation.
• Implement RAG (Retrieval-Augmented Generation) architectures using LangChain, vector stores, schema validation, and output parsers.
• Build and optimize models for NLP, forecasting, and computer vision use cases.
• Apply machine learning algorithms using Scikit-learn, TensorFlow, and PyTorch

where applicable.

• Has worked with Amazon Bedrock.
• Hands on experience in python and ai

Project Description:

• Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process.
• We are seeking a highly skilled and innovative Python/AI Engineer to join our team. The ideal candidate will be responsible for developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into our application landscape. This role involves close collaboration with business stakeholders and R&D teams to drive AI adoption and deliver impactful results.

Responsibilities:

• Design and develop PoCs and present them to business stakeholders.
• Build and deploy innovative AI solutions using state-of-the-art models.
• Integrate LLMs into existing and new applications.
• Develop new functionalities within R&D applications.
• Promote and implement best process practices across AI development workflows.

Mandatory Skills:

• LLM
• Machine Learning

Mandatory Skills Description:

• 8+ years of experience in AI/ML development.
• Advanced proficiency in Python.
• Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).
• Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).
• Solid foundation in Data Science and statistical modeling.
• Exper

About ADM:

We are one of the world’s largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.

About ADM India Hub:

At ADM, we have long recognized the strength and potential of India’s talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India.

At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.

Tax Technology – Tax Technology Manager (GCC) – Job Band XX

Position Summary:

The Tax Technology is an integral part of the ADM organization, regularly communicating with and supporting colleagues across various businesses globally. The Tax Technology Analyst will support the identification, implementation, and maintenance of key tax technology applications within ADM. Working under the guidance of senior Tax Technology staff, this role provides a strong foundation in tax technology, data analytics, and process

Meet the Team

We are the Cloud Operations team within Cisco IT, responsible for developing and leading the infrastructure that powers Cisco’s global engineering and business functions. Our mission is to build scalable, efficient, and ground breaking infrastructure that supports the next generation of AI solutions. usinging automation, advanced hardware, and AI-optimized frameworks, we ensure seamless integration and future-ready services. We operate in a dynamic, collaborative culture that celebrates creative problem-solving and continuous innovation.

Your Impact

As an AI Engineer, you will play a pivotal role in optimizing our cloud infrastructure through artificial intelligence and machine learning. You will design and implement AI Agents to lead resource allocation, develop predictive models for system health, and automate complex operational workflows. By integrating AI-driven insights into our cloud monitoring tools, you will enhance system resilience, security, and cost-efficiency. You will collaborate closely with DevOps and SRE teams to deploy and maintain ML models in production, ensuring our infrastructure remains at the forefront of technological advancement.

Minimum Qualifications

• Bachelors degree with min 4 years of work experince or Master’s degree in Computer Science, Data Science, or related technical field with 2 years experience.
• Design and implement AI Agents for Infra

About WeAgile Software Solution Pvt. Ltd.:

We are a leading technology firm that integrates strategy, design, and software engineering to enable enterprises and technology disruptors across the globe to thrive as modern digital businesses. Ongoing digital disruption is challenging enterprises to keep pace with the accelerating rate of technological change. This is where WeAgile can help. We leverage our vast experience to improve our clients’ ability to respond to change; utilize data assets to unlock new sources of value; create adaptable technology platforms that move with business strategies; and rapidly design, deliver, and evolve exceptional digital products and experiences at scale.

About The Role

We are seeking a highly experienced and innovative Principal Architect – AI Platforms to lead the design, development, integration, and enterprise adoption of modern AI technologies across multiple ecosystems including generative AI, automation, coding assistants, multimodal AI, AI infrastructure, and developer productivity tools.

The ideal candidate should possess deep expertise in leading AI platforms such as OpenAI/ChatGPT, Claude AI, Google Gemini, GitHub Copilot, Cursor AI, Hugging Face, LangChain, Ollama, Runway, and Zapier AI.

In addition to technical leadership, this role requires strong mentoring and teaching capabilities to train the junior engineers in Python programming, AI application devel

Imaging Endpoints (IE) is an Imaging Technology and Imaging Clinical Research Organization (iCRO). We are passionately focused on our vision to Connect Imaging to the CureTM . Everything we do is aligned with this singular purpose. We work every day excited to advance imaging science, technology, and services to bring curative technologies to humankind. We have supported many of the most impactful new drug approvals in oncology, and we are seeking the most talented individuals globally that are passionate in their desire to assist us in our mission to customize each clinical trial’s imaging to optimize the opportunity to demonstrate efficacy.

Imaging Endpoints is based in Scottsdale, Arizona, with offices in Cambridge, Massachusetts; London, UK; Leiden, Netherlands; Basel, Switzerland; Hyderabad, India and Shanghai, China. We are an affiliate of HonorHealth, one of the largest healthcare systems nationally, and Scottsdale Medical Imaging Limited (SMIL/RadPartners), the largest private radiology group in the United States. We are recognized as the world’s largest and most preeminent iCRO in oncology.

This position supports the development and maintenance of a web-based reporting platform by building Python backend services and APIs, integrating data from multiple SQL sources, and using AWS services to enable secure, reliable report generation and access.

SENIOR BACKEND REPORTING DEVELOPER (PYTHON/REACT)